2008D

Runge-Kutta method for Rosseler attractor (chaotic map)

基于Swerling目标模型的雷达信号检测 主程序(Swerling target model based on radar signal detection)

自动车床管理、数学建模大赛。最好的换刀方案,最好的检查周期,以降低成本。 (Automatic lathe management, mathematical modeling competition. The best solution for the sword, best check cycle, in order to reduce costs. )

归一化后截止频率为0.2的数字低通滤波器，并且能有效滤掉工频干扰，使心电信号有效表达信息。(The normalized digital low-pass filter with a cutoff frequency of 0.2, and can effectively filter out power frequency interference, so that the ECG signal can effectively express information.)

说明：  这个程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。此程序运用到了很多Matlab编程中常用到的表达方式，还有一些神经网络编程的基本概念的表达，如归一化的表达。希望能对大家有所帮助(This program the trained network file ANN.mat predict new data file, get the mean square error, and forecast data and the original data to draw the comparison chart. This procedure applied to a lot of Matlab programming to the expression commonly used, there are some basic concepts of neural network programming expression, as normalized expression. Hope you can help)

MATLAB 简单易懂的教程，保证在短时间内学会。(MATLAB tutorial easy to understand, to ensure that in a short time learn.)

“cppmathref2b.pdf”Matlab 6.5的C++数学库函数及用法详细参考手册，包含全部内容，很详尽，做Matlab和VC混合编程必不可少的工具书。(" Cppmathref2b.pdf" Matlab 6.5 for C++ Math Library function and the use of detailed reference manual, including all content, very detailed, so Matlab and VC hybrid programming tool indispensable.)

一种改进后的绝对关联度模型，属于灰色关联度的一种。(Absolute correlation degree model is a kind of improved absolute correlation degree model, is a kind of grey correlation degree.)

低通抽样定理程序有课程设计的有需求的自己(Low-pass sampling theorem of the curriculum design process there is a demand of their own)

说明：  异步电机的精确控制和速度辨识是交流传动系统中重要问题。在该仿真系统中，电机转速采用易于检测的电机定子电压和电流得到转速MRAS辨识算法来估算。由于速度辨识算法中电压模型的纯积分环节会引起的误差积累和漂移问题，采用改进积分型转子磁链估算模型来解决。(The precise control and the speed identification of AC motor are the very important issues on AC drive system.In this system, induction motor is controlled by the direct torque control, stator flux is estimated by u-n model observer that is effective in the full range of speed, motor speed is estimated by MRAS speed identification algorithm that is depended on the voltage and the current of motor stator easily detected. The modified integral rotor flux estimation model is used to solve the problem that the normal model can be affected by the error accumulation and drift of integral calculation in the voltage model of conventional speed identification algorithm. )